Year |
Citation |
Score |
2022 |
Koplewitz G, Lu F, Clemente L, Buckee C, Santillana M. Predicting dengue incidence leveraging internet-based data sources. A case study in 20 cities in Brazil. Plos Neglected Tropical Diseases. 16: e0010071. PMID 35073316 DOI: 10.1371/journal.pntd.0010071 |
0.301 |
|
2020 |
Castiñeira D, Schlosser KR, Geva A, Rahmani AR, Fiore G, Walsh BK, Smallwood CD, Arnold JH, Santillana M. Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach. Respiratory Care. 65: 1367-1377. PMID 32879034 DOI: 10.4187/Respcare.07561 |
0.313 |
|
2020 |
Aiken EL, McGough SF, Majumder MS, Wachtel G, Nguyen AT, Viboud C, Santillana M. Real-time estimation of disease activity in emerging outbreaks using internet search information. Plos Computational Biology. 16: e1008117. PMID 32804932 DOI: 10.1371/Journal.Pcbi.1008117 |
0.384 |
|
2020 |
Poirier C, Liu D, Clemente L, Ding X, Chinazzi M, Davis J, Vespignani A, Santillana M. Real-time forecasting of the COVID-19 outbreak in Chinese provinces: Machine learning approach using novel digital data and estimates from mechanistic models. Journal of Medical Internet Research. PMID 32730217 DOI: 10.2196/20285 |
0.35 |
|
2020 |
Chevalier-Cottin EP, Ashbaugh H, Brooke N, Gavazzi G, Santillana M, Burlet N, Tin Tin Htar M. Communicating Benefits from Vaccines Beyond Preventing Infectious Diseases. Infectious Diseases and Therapy. PMID 32583334 DOI: 10.1007/S40121-020-00312-7 |
0.308 |
|
2020 |
Lai S, Ruktanonchai NW, Zhou L, Prosper O, Luo W, Floyd JR, Wesolowski A, Santillana M, Zhang C, Du X, Yu H, Tatem AJ. Effect of non-pharmaceutical interventions to contain COVID-19 in China. Nature. PMID 32365354 DOI: 10.1038/S41586-020-2293-X |
0.316 |
|
2019 |
Tideman S, Santillana M, Bickel J, Reis B. Internet search query data improve forecasts of daily emergency department volume. Journal of the American Medical Informatics Association : Jamia. 26: 1574-1583. PMID 31730701 DOI: 10.1093/Jamia/Ocz154 |
0.323 |
|
2019 |
Baltrusaitis K, Vespignani A, Rosenfeld R, Gray J, Raymond D, Santillana M. Differences in Regional Patterns of Influenza Activity Across Surveillance Systems in the United States: Comparative Evaluation. Jmir Public Health and Surveillance. 5: e13403. PMID 31579019 DOI: 10.2196/13403 |
0.36 |
|
2019 |
Lipsitch M, Santillana M. Enhancing Situational Awareness to Prevent Infectious Disease Outbreaks from Becoming Catastrophic. Current Topics in Microbiology and Immunology. PMID 31292726 DOI: 10.1007/82_2019_172 |
0.319 |
|
2019 |
Clemente L, Lu F, Santillana M. Improved Real-Time Influenza Surveillance: Using Internet Search Data in Eight Latin American Countries. Jmir Public Health and Surveillance. 5: e12214. PMID 30946017 DOI: 10.2196/12214 |
0.397 |
|
2019 |
Lu FS, Hattab MW, Clemente CL, Biggerstaff M, Santillana M. Improved state-level influenza nowcasting in the United States leveraging Internet-based data and network approaches. Nature Communications. 10: 147. PMID 30635558 DOI: 10.1038/S41467-018-08082-0 |
0.387 |
|
2018 |
Santillana M, Tuite A, Nasserie T, Fine P, Champredon D, Chindelevitch L, Dushoff J, Fisman D. Relatedness of the incidence decay with exponential adjustment (IDEA) model, "Farr's law" and SIR compartmental difference equation models. Infectious Disease Modelling. 3: 1-12. PMID 30839910 DOI: 10.1016/J.Idm.2018.03.001 |
0.318 |
|
2018 |
Baltrusaitis K, Brownstein JS, Scarpino SV, Bakota E, Crawley AW, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. Bmc Infectious Diseases. 18: 403. PMID 30111305 DOI: 10.1186/S12879-018-3322-3 |
0.386 |
|
2018 |
Lu FS, Hou S, Baltrusaitis K, Shah M, Leskovec J, Sosic R, Hawkins J, Brownstein J, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. Jmir Public Health and Surveillance. 4: e4. PMID 29317382 DOI: 10.2196/Publichealth.8950 |
0.38 |
|
2017 |
Brownstein JS, Chu S, Marathe A, Marathe MV, Nguyen AT, Paolotti D, Perra N, Perrotta D, Santillana M, Swarup S, Tizzoni M, Vespignani A, Vullikanti AKS, Wilson ML, Zhang Q. Combining Participatory Influenza Surveillance with Modeling and Forecasting: Three Alternative Approaches. Jmir Public Health and Surveillance. 3: e83. PMID 29092812 DOI: 10.2196/Publichealth.7344 |
0.362 |
|
2017 |
Yang S, Kou SC, Lu F, Brownstein JS, Brooke N, Santillana M. Advances in using Internet searches to track dengue. Plos Computational Biology. 13: e1005607. PMID 28727821 DOI: 10.1371/Journal.Pcbi.1005607 |
0.38 |
|
2017 |
Yang S, Santillana M, Brownstein JS, Gray J, Richardson S, Kou SC. Using electronic health records and Internet search information for accurate influenza forecasting. Bmc Infectious Diseases. 17: 332. PMID 28482810 DOI: 10.1186/S12879-017-2424-7 |
0.385 |
|
2017 |
Baltrusaitis K, Santillana M, Crawley AW, Chunara R, Smolinski M, Brownstein JS. Determinants of Participants' Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System. Jmir Public Health and Surveillance. 3: e18. PMID 28389417 DOI: 10.2196/Publichealth.7304 |
0.311 |
|
2017 |
McGough SF, Brownstein JS, Hawkins JB, Santillana M. Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data. Plos Neglected Tropical Diseases. 11: e0005295. PMID 28085877 DOI: 10.1371/Journal.Pntd.0005295 |
0.346 |
|
2016 |
Johansson MA, Reich NG, Hota A, Brownstein JS, Santillana M. Evaluating the performance of infectious disease forecasts: A comparison of climate-driven and seasonal dengue forecasts for Mexico. Scientific Reports. 6: 33707. PMID 27665707 DOI: 10.1038/Srep33707 |
0.322 |
|
2016 |
Majumder MS, Santillana M, Mekaru SR, McGinnis DP, Khan K, Brownstein JS. Utilizing Nontraditional Data Sources for Near Real-Time Estimation of Transmission Dynamics During the 2015-2016 Colombian Zika Virus Disease Outbreak. Jmir Public Health and Surveillance. 2: e30. PMID 27251981 DOI: 10.2196/Publichealth.5814 |
0.354 |
|
2016 |
Santillana M, Nguyen AT, Louie T, Zink A, Gray J, Sung I, Brownstein JS. Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Scientific Reports. 6: 25732. PMID 27165494 DOI: 10.1038/Srep25732 |
0.365 |
|
2015 |
Yang S, Santillana M, Kou SC. Accurate estimation of influenza epidemics using Google search data via ARGO. Proceedings of the National Academy of Sciences of the United States of America. PMID 26553980 DOI: 10.1073/Pnas.1515373112 |
0.391 |
|
2015 |
Santillana M, Nguyen AT, Dredze M, Paul MJ, Nsoesie EO, Brownstein JS. Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. Plos Computational Biology. 11: e1004513. PMID 26513245 DOI: 10.1371/Journal.Pcbi.1004513 |
0.374 |
|
2015 |
Smolinski MS, Crawley AW, Baltrusaitis K, Chunara R, Olsen JM, Wójcik O, Santillana M, Nguyen A, Brownstein JS. Flu Near You: Crowdsourced Symptom Reporting Spanning 2 Influenza Seasons. American Journal of Public Health. 105: 2124-30. PMID 26270299 DOI: 10.2105/Ajph.2015.302696 |
0.342 |
|
2014 |
Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. A case study of the New York City 2012-2013 influenza season with daily geocoded Twitter data from temporal and spatiotemporal perspectives. Journal of Medical Internet Research. 16: e236. PMID 25331122 DOI: 10.2196/Jmir.3416 |
0.342 |
|
2014 |
Santillana M, Nsoesie EO, Mekaru SR, Scales D, Brownstein JS. Using clinicians' search query data to monitor influenza epidemics. Clinical Infectious Diseases : An Official Publication of the Infectious Diseases Society of America. 59: 1446-50. PMID 25115873 DOI: 10.1093/Cid/Ciu647 |
0.378 |
|
2014 |
Santillana M, Zhang DW, Althouse BM, Ayers JW. What can digital disease detection learn from (an external revision to) google flu trends? American Journal of Preventive Medicine. 47: 341-7. PMID 24997572 DOI: 10.1016/J.Amepre.2014.05.020 |
0.347 |
|
2014 |
Gluskin RT, Johansson MA, Santillana M, Brownstein JS. Evaluation of Internet-based dengue query data: Google Dengue Trends. Plos Neglected Tropical Diseases. 8: e2713. PMID 24587465 DOI: 10.1371/Journal.Pntd.0002713 |
0.392 |
|
2013 |
Gluskin RT, Santillana M, Brownstein JS. Using Google Dengue Trends to Estimate Climate Effects in Mexico Online Journal of Public Health Informatics. 5. DOI: 10.5210/Ojphi.V5I1.4584 |
0.314 |
|
2010 |
Santillana M, Dawson C. A local discontinuous Galerkin method for a doubly nonlinear diffusion equation arising in shallow water modeling Computer Methods in Applied Mechanics and Engineering. 199: 1424-1436. DOI: 10.1016/J.Cma.2009.11.016 |
0.506 |
|
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